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Ai First Fullstack Engineer Jobs in Lake Forest, IL

Founding Staff AI Engineer

Chicago, IL · On-site

$150K - $250K/yr

You'll be our first AI hire, helping architect and scale our AI systems from the ground up. You ... Strong software engineering background, with experience in fullstack dev, containerization (Docker ...

Principal Software Engineer

Chicago, IL · On-site

$168K - $252K/yr

AI-First Innovation Focus : * Identify opportunities to leverage modern platforms, AI-enabled ... SDLC, DevOps & Operational Excellence: * Champion strong AI driven SDLC and DevOps practices ...

Principal Software Engineer

Chicago, IL · On-site

$139K - $186K/yr

AI-First Innovation Focus : * Identify opportunities to leverage modern platforms, AI-enabled ... SDLC, DevOps & Operational Excellence: * Champion strong AI driven SDLC and DevOps practices ...

Software Engineer

Schaumburg, IL · On-site

$116 - $162/hr

Job OverviewThe Developer IV leads technical modernization efforts across Wheels' application ... Architecture Evolution & AI-First ModernizationOwn and evolve the technical roadmap for migrating ...

Job Overview The Developer IV leads technical modernization efforts across Wheels' application ... Architecture Evolution & AI-First Modernization * Own and evolve the technical roadmap for ...

Job Overview The Developer IV leads technical modernization efforts across Wheels' application ... Architecture Evolution & AI-First Modernization * Own and evolve the technical roadmap for ...

Experience in software engineering coding in C , Java, Go, or Python. Preferred qualifications ... first to AI first. You will achieve this via gTech Risk's shift to automated prevention. You will ...

New

... AI-first software delivery models. Partner with senior engineering and architecture leaders to evaluate platform tradeoffs, capability boundaries, service ownership, governance models, and agentic ...

Showing results 41-60

Ai First Fullstack Engineer information

See Lake Forest, IL salary details

$44.1K

$133.4K

$188.6K

How much do ai first fullstack engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai first fullstack engineer in Lake Forest, IL is $133,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $156,400.00 per year, depending on experience, location, and employer.

What is the difference between Ai First Fullstack Engineer vs Software Developer?

AspectAi First Fullstack EngineerSoftware Developer
Required CredentialsBachelor's in CS, AI/ML knowledge, coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentTech companies, startups, AI-focused teamsVarious industries, tech firms, startups
Industry UsageAI-driven projects, product developmentSoftware applications, web development
Common Search/ComparisonYesYes

The Ai First Fullstack Engineer specializes in integrating AI and machine learning into fullstack development, often requiring knowledge of AI frameworks. Software Developers focus on building software applications across various domains. While both roles require strong coding skills, the Ai First Fullstack Engineer emphasizes AI integration, making it distinct in AI-centric environments.

What are popular job titles related to Ai First Fullstack Engineer jobs in Lake Forest, IL?

For Ai First Fullstack Engineer jobs in Lake Forest, IL, the most frequently searched job titles are:

What cities near Lake Forest, IL are hiring for Ai First Fullstack Engineer jobs?

Cities near Lake Forest, IL with the most Ai First Fullstack Engineer job openings:

Infographic showing various Ai First Fullstack Engineer job openings in Lake Forest, IL as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $133,441 per year, or $64.2 per hour.

Founding Staff AI Engineer

Qumis Inc

Chicago, IL • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 14 days ago


Key responsibilities

  • Build and ship production AI features end-to-end, including R&D, SaaS integration, and iteration

  • Design and deploy document understanding systems such as RAG pipelines, clause segmentation, summarization, and risk detection

  • Create scalable APIs for real-time analysis, comparisons, and recommendations within a SaaS UI


Job description

About Qumis
Qumis is a venture-backed AI startup building the most advanced platform for reading and interpreting insurance policies. We help P&C insurance professionals-claims advocates, brokers, underwriters, and legal teams-move faster, make better decisions, and reduce reliance on siloed expertise. Our customers include some of the largest insurance organizations in the U.S.
We combine legal-grade natural language understanding with structured analysis and intuitive workflows to modernize one of the most complex and outdated parts of the insurance industry: reading the policy. Our vision is a world where anyone can read any insurance policy like a lawyer.
We're a small, high-trust team of engineers, designers, and insurance/legal experts. We move fast, operate with autonomy, and hold each other to a Michelin-star standard. We value grit, speed, ownership, clarity of thinking, and deep curiosity. If you're energized by building at the edge of AI, transforming massive legacy industries, and working with people who care deeply-welcome.
About the Role
We're hiring a Founding Staff AI Engineer to build and ship production-grade AI that powers the core workflows of Qumis. You'll partner closely with the CTO and co-founders to design, implement, and own every part of our AI pipeline-from unstructured document ingestion to interactive LLM outputs that shape legal-grade decisions.
It's a product-critical role for someone who thrives in ambiguity, ships fast, and is excited to be the technical owner of a new AI stack inside a real-world, high-stakes domain.
You'll play a key role in shaping our architecture, roadmap, and engineering culture. Your work will touch every customer, every week.
What You'll Do
  • Build and ship production AI features end-to-end-from R&D to SaaS integration, observability, and iteration
  • Design and deploy advanced document understanding systems, including RAG pipelines, clause segmentation, summarization, risk detection, and more
  • Create scalable APIs that deliver real-time coverage analysis, comparisons, and recommendations inside a modern SaaS UI
  • Engineer robust data workflows across OCR, PDF ingestion, parsing, normalization, and embedding generation
  • Own evaluation and observability, from automated accuracy pipelines to human-in-the-loop systems that maintain trust and reliability
  • Design for explainability-develop transparent workflows that help legal, claims, and compliance professionals understand what the AI sees and says
  • Collaborate across disciplines with designers, PMs, and domain experts to translate insurance workflows into AI-powered systems
  • Set technical direction-you'll shape our infra, tooling, and AI product roadmap from the ground up

What We're Looking For
This role blends the ambition of a research scientist, the urgency of a product engineer, and the ownership of a founder. You'll be our first AI hire, helping architect and scale our AI systems from the ground up. You should bring most or all of the following:
  • 6-10+ years of experience building and deploying production machine learning systems, with a focus on NLP, document intelligence, or unstructured data
  • Strong track record shipping ML models into production-API design, observability, iteration, and scaling included
  • Deep experience with RAG pipelines, multi-step LLM workflows, and vector databases (e.g., Pinecone, Weaviate, Qdrant)
  • Comfortable working with complex, messy documents (e.g., insurance policies, contracts), including parsing, OCR, clause-level segmentation, and normalization
  • Strong software engineering background, with experience in fullstack dev, containerization (Docker), and DevOps/MLOps best practices
  • Ability to design secure, compliant systems in regulated environments (insurance, legal, healthcare, or finance)
  • Experience architecting agentic workflows and AI-native products that go beyond simple chatbot interfaces
  • Product-first mindset-you build models to solve real user pain, and love working closely with cross-functional teams
  • Operates like a founder-driven, hands-on, scrappy, and thrives in fast-paced, zero-to-one environments with extreme ownership

Why Join Qumis
  • Backed by top-tier venture capital funds including Armory Square Ventures, MTech Capital, Grand Ventures, and Alumni Ventures, and strategic angels in AI and insurance including the founder and CEO of Chicago insurtech unicorn Kin Insurance
  • Used and loved by leading brokerages and claims teams to transform how work gets done including multiple top 15 brokerages with tremendous expansion potential
  • Shape the future of how generative AI transforms one of the world's most complex, critical industries
  • High-ownership role on a high-standards founding team with grit, urgency, and big ambition
  • Build a generational company-the kind of opportunity that only comes once in a career

We've Got You Covered
We offer a comprehensive benefits package so you can choose what's best for you and your family. Our benefits include:
  • Medical, dental, and vision insurance (Aetna + Guardian) with 100% of premiums covered for employees on select plans and up to 90% coverage for dependents
  • Life Insurance (company-paid), plus supplemental options, short- and long-term disability insurance, pre-tax FSA and HSA options, and pre-tax commuter benefits
  • Unlimited PTO & $1,000 home office setup stipend
  • Hybrid work environment: 1-2 days/week in our Chicago office
  • Professional development support and growth opportunities